- Open account settings.
- Scroll down to API and click Create New API Token.
- Open up
kaggle.jsonand use the username and key.
This notebook is a template with each step that you need to complete for the project.
Please fill in your code where there are explicit ? markers in the notebook. You are welcome to add more cells and code as you see fit.
Once you have completed all the code implementations, please export your notebook as a HTML file so the reviews can view your code. Make sure you have all outputs correctly outputted.
File-> Export Notebook As... -> Export Notebook as HTML
There is a writeup to complete as well after all code implememtation is done. Please answer all questions and attach the necessary tables and charts. You can complete the writeup in either markdown or PDF.
Completing the code template and writeup template will cover all of the rubric points for this project.
The rubric contains "Stand Out Suggestions" for enhancing the project beyond the minimum requirements. The stand out suggestions are optional. If you decide to pursue the "stand out suggestions", you can include the code in this notebook and also discuss the results in the writeup file.
Below is example of steps to get the API username and key. Each student will have their own username and key.
kaggle.json and use the username and key.
ml.t3.medium instance (2 vCPU + 4 GiB)Python 3 (MXNet 1.8 Python 3.7 CPU Optimized)!pip install -U pip
!pip install -U setuptools wheel
!pip install -U "mxnet<2.0.0" bokeh==2.0.1
!pip install autogluon --no-cache-dir
# Without --no-cache-dir, smaller aws instances may have trouble installing
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WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
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WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
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DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063
Installing collected packages: typish, tokenizers, tensorboard-plugin-wit, sortedcontainers, sentencepiece, py4j, msgpack, heapdict, distlib, cymem, antlr4-python3-runtime, zict, yacs, xxhash, wrapt, typing-extensions, tqdm, toolz, tensorboard-data-server, tblib, spacy-loggers, spacy-legacy, smart-open, regex, pyrsistent, pyDeprecate, pyasn1-modules, Pillow, ordered-set, omegaconf, oauthlib, numpy, murmurhash, multidict, mdurl, locket, langcodes, importlib-resources, grpcio, future, frozenlist, filelock, fastprogress, defusedxml, charset-normalizer, cachetools, autocfg, asynctest, absl-py, yarl, wasabi, torch, tifffile, tensorboardX, scipy, responses, requests-oauthlib, PyWavelets, pydantic, pyarrow, preshed, platformdirs, patsy, partd, opencv-python-headless, nptyping, markdown-it-py, importlib-metadata, google-auth, fastcore, deprecated, catalogue, blis, async-timeout, aiosignal, xgboost, virtualenv, torchvision, torchtext, torchmetrics, statsmodels, srsly, scikit-image, rich, nlpaug, markdown, jsonschema, hyperopt, huggingface-hub, google-auth-oauthlib, gluonts, fastdownload, fairscale, dask, click, aiohttp, accelerate, typer, transformers, timm, tensorboard, sktime, seqeval, ray, qudida, pytorch-metric-learning, pmdarima, nltk, model-index, lightgbm, gluoncv, distributed, confection, catboost, thinc, tbats, pytorch-lightning, pathy, openmim, datasets, autogluon.common, albumentations, spacy, evaluate, autogluon.features, autogluon.core, fastai, autogluon.tabular, autogluon.multimodal, autogluon.vision, autogluon.timeseries, autogluon.text, autogluon
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WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
!pip install python-dotenv
Collecting python-dotenv Downloading python_dotenv-0.21.1-py3-none-any.whl (19 kB) DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063 Installing collected packages: python-dotenv Successfully installed python-dotenv-0.21.1 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
!echo "KAGGLE_USERNAME=urmiltamboli" >> pass.env
!echo "KAGGLE_KEY=cfdf95d8740fdd79f343e9e3d95c60aa" >> pass.env
from dotenv import dotenv_values
CONFIG = dotenv_values('pass.env')
kaggle_username = CONFIG['KAGGLE_USERNAME']
kaggle_key = CONFIG['KAGGLE_KEY']
# create the .kaggle directory and an empty kaggle.json file
!pip install kaggle
!mkdir -p /root/.kaggle
!touch /root/.kaggle/kaggle.json
!chmod 600 /root/.kaggle/kaggle.json
# import os
# cwd = os.getcwd()
# cwd
Requirement already satisfied: kaggle in /usr/local/lib/python3.7/site-packages (1.5.15) Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.7/site-packages (from kaggle) (1.16.0) Requirement already satisfied: certifi in /usr/local/lib/python3.7/site-packages (from kaggle) (2021.10.8) Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/site-packages (from kaggle) (2.8.0) Requirement already satisfied: requests in /usr/local/lib/python3.7/site-packages (from kaggle) (2.22.0) Requirement already satisfied: tqdm in /usr/local/lib/python3.7/site-packages (from kaggle) (4.65.0) Requirement already satisfied: python-slugify in /usr/local/lib/python3.7/site-packages (from kaggle) (8.0.1) Requirement already satisfied: urllib3 in /usr/local/lib/python3.7/site-packages (from kaggle) (1.25.11) Requirement already satisfied: bleach in /usr/local/lib/python3.7/site-packages (from kaggle) (6.0.0) Requirement already satisfied: webencodings in /usr/local/lib/python3.7/site-packages (from bleach->kaggle) (0.5.1) Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/site-packages (from python-slugify->kaggle) (1.3) Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.7/site-packages (from requests->kaggle) (3.0.4) Requirement already satisfied: idna<2.9,>=2.5 in /usr/local/lib/python3.7/site-packages (from requests->kaggle) (2.8) DEPRECATION: pytorch-lightning 1.7.7 has a non-standard dependency specifier torch>=1.9.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of pytorch-lightning or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
# Download the dataset, it will be in a .zip file so you'll need to unzip it as well.
!kaggle competitions download -c bike-sharing-demand
# If you already downloaded it you can use the -o command to overwrite the file
!unzip -o bike-sharing-demand.zip
bike-sharing-demand.zip: Skipping, found more recently modified local copy (use --force to force download) Archive: bike-sharing-demand.zip inflating: sampleSubmission.csv inflating: test.csv inflating: train.csv
import pandas as pd
from autogluon.tabular import TabularPredictor
import autogluon.core as ag
# Create the train dataset in pandas by reading the csv
# Set the parsing of the datetime column so you can use some of the `dt` features in pandas later
train = pd.read_csv('train.csv',parse_dates = ["datetime"])
train.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | casual | registered | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-01 00:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 81 | 0.0 | 3 | 13 | 16 |
| 1 | 2011-01-01 01:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 8 | 32 | 40 |
| 2 | 2011-01-01 02:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 5 | 27 | 32 |
| 3 | 2011-01-01 03:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 3 | 10 | 13 |
| 4 | 2011-01-01 04:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 0 | 1 | 1 |
# Simple output of the train dataset to view some of the min/max/varition of the dataset features.
train.describe()
| season | holiday | workingday | weather | temp | atemp | humidity | windspeed | casual | registered | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 10886.000000 | 10886.000000 | 10886.000000 | 10886.000000 | 10886.00000 | 10886.000000 | 10886.000000 | 10886.000000 | 10886.000000 | 10886.000000 | 10886.000000 |
| mean | 2.506614 | 0.028569 | 0.680875 | 1.418427 | 20.23086 | 23.655084 | 61.886460 | 12.799395 | 36.021955 | 155.552177 | 191.574132 |
| std | 1.116174 | 0.166599 | 0.466159 | 0.633839 | 7.79159 | 8.474601 | 19.245033 | 8.164537 | 49.960477 | 151.039033 | 181.144454 |
| min | 1.000000 | 0.000000 | 0.000000 | 1.000000 | 0.82000 | 0.760000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 |
| 25% | 2.000000 | 0.000000 | 0.000000 | 1.000000 | 13.94000 | 16.665000 | 47.000000 | 7.001500 | 4.000000 | 36.000000 | 42.000000 |
| 50% | 3.000000 | 0.000000 | 1.000000 | 1.000000 | 20.50000 | 24.240000 | 62.000000 | 12.998000 | 17.000000 | 118.000000 | 145.000000 |
| 75% | 4.000000 | 0.000000 | 1.000000 | 2.000000 | 26.24000 | 31.060000 | 77.000000 | 16.997900 | 49.000000 | 222.000000 | 284.000000 |
| max | 4.000000 | 1.000000 | 1.000000 | 4.000000 | 41.00000 | 45.455000 | 100.000000 | 56.996900 | 367.000000 | 886.000000 | 977.000000 |
# Create the test pandas dataframe in pandas by reading the csv, remember to parse the datetime!
test = pd.read_csv('test.csv',parse_dates = ["datetime"])
test.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-20 00:00:00 | 1 | 0 | 1 | 1 | 10.66 | 11.365 | 56 | 26.0027 |
| 1 | 2011-01-20 01:00:00 | 1 | 0 | 1 | 1 | 10.66 | 13.635 | 56 | 0.0000 |
| 2 | 2011-01-20 02:00:00 | 1 | 0 | 1 | 1 | 10.66 | 13.635 | 56 | 0.0000 |
| 3 | 2011-01-20 03:00:00 | 1 | 0 | 1 | 1 | 10.66 | 12.880 | 56 | 11.0014 |
| 4 | 2011-01-20 04:00:00 | 1 | 0 | 1 | 1 | 10.66 | 12.880 | 56 | 11.0014 |
# Same thing as train and test dataset
submission = pd.read_csv('sampleSubmission.csv')
submission.head()
| datetime | count | |
|---|---|---|
| 0 | 2011-01-20 00:00:00 | 0 |
| 1 | 2011-01-20 01:00:00 | 0 |
| 2 | 2011-01-20 02:00:00 | 0 |
| 3 | 2011-01-20 03:00:00 | 0 |
| 4 | 2011-01-20 04:00:00 | 0 |
Requirements:
count, so it is the label we are setting.casual and registered columns as they are also not present in the test dataset. root_mean_squared_error as the metric to use for evaluation.best_quality to focus on creating the best model.train = train.drop(['casual','registered'],axis = 1)
predictor = TabularPredictor(label = 'count', eval_metric = 'rmse').fit(train, time_limit = 600, presets = 'best_quality')
No path specified. Models will be saved in: "AutogluonModels/ag-20230716_211526/"
Presets specified: ['best_quality']
Stack configuration (auto_stack=True): num_stack_levels=1, num_bag_folds=8, num_bag_sets=20
Beginning AutoGluon training ... Time limit = 600s
AutoGluon will save models to "AutogluonModels/ag-20230716_211526/"
AutoGluon Version: 0.6.2
Python Version: 3.7.10
Operating System: Linux
Platform Machine: x86_64
Platform Version: #1 SMP Tue May 23 16:44:05 UTC 2023
Train Data Rows: 10886
Train Data Columns: 9
Label Column: count
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type parameter during predictor init (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 1929.7 MB
Train Data (Original) Memory Usage: 0.78 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting DatetimeFeatureGenerator...
/usr/local/lib/python3.7/site-packages/autogluon/features/generators/datetime.py:59: FutureWarning: casting datetime64[ns, UTC] values to int64 with .astype(...) is deprecated and will raise in a future version. Use .view(...) instead.
good_rows = series[~series.isin(bad_rows)].astype(np.int64)
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('datetime', []) : 1 | ['datetime']
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 5 | ['season', 'holiday', 'workingday', 'weather', 'humidity']
Types of features in processed data (raw dtype, special dtypes):
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 3 | ['season', 'weather', 'humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
0.2s = Fit runtime
9 features in original data used to generate 13 features in processed data.
Train Data (Processed) Memory Usage: 0.98 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.27s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
This metric's sign has been flipped to adhere to being higher_is_better. The metric score can be multiplied by -1 to get the metric value.
To change this, specify the eval_metric parameter of Predictor()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 399.72s of the 599.72s of remaining time.
-101.5462 = Validation score (-root_mean_squared_error)
0.04s = Training runtime
0.12s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 399.28s of the 599.28s of remaining time.
-84.1251 = Validation score (-root_mean_squared_error)
0.04s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 398.85s of the 598.86s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-131.4609 = Validation score (-root_mean_squared_error)
74.21s = Training runtime
9.6s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 317.7s of the 517.7s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-131.0542 = Validation score (-root_mean_squared_error)
31.92s = Training runtime
1.48s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 281.32s of the 481.33s of remaining time.
-116.5443 = Validation score (-root_mean_squared_error)
12.51s = Training runtime
0.67s = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 265.42s of the 465.42s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-130.54 = Validation score (-root_mean_squared_error)
199.59s = Training runtime
0.14s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 61.53s of the 261.54s of remaining time.
-124.5881 = Validation score (-root_mean_squared_error)
5.06s = Training runtime
0.52s = Validation runtime
Fitting model: NeuralNetFastAI_BAG_L1 ... Training model for up to 53.37s of the 253.37s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-138.8115 = Validation score (-root_mean_squared_error)
69.72s = Training runtime
0.51s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 179.38s of remaining time.
-84.1251 = Validation score (-root_mean_squared_error)
0.68s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 178.62s of the 178.6s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-60.2615 = Validation score (-root_mean_squared_error)
61.98s = Training runtime
4.03s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 110.96s of the 110.94s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-54.99 = Validation score (-root_mean_squared_error)
28.57s = Training runtime
0.26s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 77.67s of the 77.65s of remaining time.
-53.2953 = Validation score (-root_mean_squared_error)
30.44s = Training runtime
0.65s = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 44.12s of the 44.1s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-55.8532 = Validation score (-root_mean_squared_error)
49.87s = Training runtime
0.05s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the -9.94s of remaining time.
-53.0118 = Validation score (-root_mean_squared_error)
0.34s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 610.5s ... Best model: "WeightedEnsemble_L3"
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20230716_211526/")
predictor.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
model score_val pred_time_val fit_time pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 WeightedEnsemble_L3 -53.011781 18.127382 564.280107 0.000911 0.339106 3 True 14
1 RandomForestMSE_BAG_L2 -53.295324 13.790821 423.519920 0.646471 30.436101 2 True 12
2 LightGBM_BAG_L2 -54.990029 13.403950 421.651002 0.259600 28.567183 2 True 11
3 CatBoost_BAG_L2 -55.853232 13.195252 442.953858 0.050901 49.870039 2 True 13
4 LightGBMXT_BAG_L2 -60.261460 17.169500 455.067678 4.025149 61.983860 2 True 10
5 KNeighborsDist_BAG_L1 -84.125061 0.104428 0.037621 0.104428 0.037621 1 True 2
6 WeightedEnsemble_L2 -84.125061 0.105423 0.713909 0.000996 0.676288 2 True 9
7 KNeighborsUnif_BAG_L1 -101.546199 0.117123 0.041065 0.117123 0.041065 1 True 1
8 RandomForestMSE_BAG_L1 -116.544294 0.665931 12.510792 0.665931 12.510792 1 True 5
9 ExtraTreesMSE_BAG_L1 -124.588053 0.521157 5.057163 0.521157 5.057163 1 True 7
10 CatBoost_BAG_L1 -130.540039 0.141469 199.586388 0.141469 199.586388 1 True 6
11 LightGBM_BAG_L1 -131.054162 1.482474 31.920640 1.482474 31.920640 1 True 4
12 LightGBMXT_BAG_L1 -131.460909 9.601838 74.207117 9.601838 74.207117 1 True 3
13 NeuralNetFastAI_BAG_L1 -138.811474 0.509932 69.723033 0.509932 69.723033 1 True 8
Number of models trained: 14
Types of models trained:
{'StackerEnsembleModel_CatBoost', 'StackerEnsembleModel_RF', 'WeightedEnsembleModel', 'StackerEnsembleModel_LGB', 'StackerEnsembleModel_KNN', 'StackerEnsembleModel_NNFastAiTabular', 'StackerEnsembleModel_XT'}
Bagging used: True (with 8 folds)
Multi-layer stack-ensembling used: True (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 3 | ['season', 'weather', 'humidity']
('int', ['bool']) : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
Plot summary of models saved to file: AutogluonModels/ag-20230716_211526/SummaryOfModels.html
*** End of fit() summary ***
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L1': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
'CatBoost_BAG_L1': 'StackerEnsembleModel_CatBoost',
'ExtraTreesMSE_BAG_L1': 'StackerEnsembleModel_XT',
'NeuralNetFastAI_BAG_L1': 'StackerEnsembleModel_NNFastAiTabular',
'WeightedEnsemble_L2': 'WeightedEnsembleModel',
'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
'CatBoost_BAG_L2': 'StackerEnsembleModel_CatBoost',
'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
'model_performance': {'KNeighborsUnif_BAG_L1': -101.54619908446061,
'KNeighborsDist_BAG_L1': -84.12506123181602,
'LightGBMXT_BAG_L1': -131.46090891834504,
'LightGBM_BAG_L1': -131.054161598899,
'RandomForestMSE_BAG_L1': -116.54429428704391,
'CatBoost_BAG_L1': -130.54003860043005,
'ExtraTreesMSE_BAG_L1': -124.58805258915959,
'NeuralNetFastAI_BAG_L1': -138.8114742785318,
'WeightedEnsemble_L2': -84.12506123181602,
'LightGBMXT_BAG_L2': -60.261459909184495,
'LightGBM_BAG_L2': -54.99002890687677,
'RandomForestMSE_BAG_L2': -53.29532400253989,
'CatBoost_BAG_L2': -55.85323165855125,
'WeightedEnsemble_L3': -53.01178111476263},
'model_best': 'WeightedEnsemble_L3',
'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/KNeighborsUnif_BAG_L1/',
'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/KNeighborsDist_BAG_L1/',
'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/LightGBMXT_BAG_L1/',
'LightGBM_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/LightGBM_BAG_L1/',
'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/RandomForestMSE_BAG_L1/',
'CatBoost_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/CatBoost_BAG_L1/',
'ExtraTreesMSE_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/ExtraTreesMSE_BAG_L1/',
'NeuralNetFastAI_BAG_L1': 'AutogluonModels/ag-20230716_211526/models/NeuralNetFastAI_BAG_L1/',
'WeightedEnsemble_L2': 'AutogluonModels/ag-20230716_211526/models/WeightedEnsemble_L2/',
'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20230716_211526/models/LightGBMXT_BAG_L2/',
'LightGBM_BAG_L2': 'AutogluonModels/ag-20230716_211526/models/LightGBM_BAG_L2/',
'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20230716_211526/models/RandomForestMSE_BAG_L2/',
'CatBoost_BAG_L2': 'AutogluonModels/ag-20230716_211526/models/CatBoost_BAG_L2/',
'WeightedEnsemble_L3': 'AutogluonModels/ag-20230716_211526/models/WeightedEnsemble_L3/'},
'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.041065216064453125,
'KNeighborsDist_BAG_L1': 0.037621498107910156,
'LightGBMXT_BAG_L1': 74.2071168422699,
'LightGBM_BAG_L1': 31.920639753341675,
'RandomForestMSE_BAG_L1': 12.510791540145874,
'CatBoost_BAG_L1': 199.58638834953308,
'ExtraTreesMSE_BAG_L1': 5.057162761688232,
'NeuralNetFastAI_BAG_L1': 69.72303295135498,
'WeightedEnsemble_L2': 0.6762878894805908,
'LightGBMXT_BAG_L2': 61.98385953903198,
'LightGBM_BAG_L2': 28.567182779312134,
'RandomForestMSE_BAG_L2': 30.436100959777832,
'CatBoost_BAG_L2': 49.870038986206055,
'WeightedEnsemble_L3': 0.33910608291625977},
'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.11712265014648438,
'KNeighborsDist_BAG_L1': 0.10442757606506348,
'LightGBMXT_BAG_L1': 9.60183835029602,
'LightGBM_BAG_L1': 1.4824743270874023,
'RandomForestMSE_BAG_L1': 0.6659307479858398,
'CatBoost_BAG_L1': 0.14146900177001953,
'ExtraTreesMSE_BAG_L1': 0.5211565494537354,
'NeuralNetFastAI_BAG_L1': 0.5099315643310547,
'WeightedEnsemble_L2': 0.000995635986328125,
'LightGBMXT_BAG_L2': 4.02514910697937,
'LightGBM_BAG_L2': 0.2595996856689453,
'RandomForestMSE_BAG_L2': 0.6464705467224121,
'CatBoost_BAG_L2': 0.050901174545288086,
'WeightedEnsemble_L3': 0.0009105205535888672},
'num_bag_folds': 8,
'max_stack_level': 3,
'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'KNeighborsDist_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'LightGBMXT_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'CatBoost_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'ExtraTreesMSE_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'NeuralNetFastAI_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'WeightedEnsemble_L2': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBMXT_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'CatBoost_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'WeightedEnsemble_L3': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True}},
'leaderboard': model score_val pred_time_val fit_time \
0 WeightedEnsemble_L3 -53.011781 18.127382 564.280107
1 RandomForestMSE_BAG_L2 -53.295324 13.790821 423.519920
2 LightGBM_BAG_L2 -54.990029 13.403950 421.651002
3 CatBoost_BAG_L2 -55.853232 13.195252 442.953858
4 LightGBMXT_BAG_L2 -60.261460 17.169500 455.067678
5 KNeighborsDist_BAG_L1 -84.125061 0.104428 0.037621
6 WeightedEnsemble_L2 -84.125061 0.105423 0.713909
7 KNeighborsUnif_BAG_L1 -101.546199 0.117123 0.041065
8 RandomForestMSE_BAG_L1 -116.544294 0.665931 12.510792
9 ExtraTreesMSE_BAG_L1 -124.588053 0.521157 5.057163
10 CatBoost_BAG_L1 -130.540039 0.141469 199.586388
11 LightGBM_BAG_L1 -131.054162 1.482474 31.920640
12 LightGBMXT_BAG_L1 -131.460909 9.601838 74.207117
13 NeuralNetFastAI_BAG_L1 -138.811474 0.509932 69.723033
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 0.000911 0.339106 3 True
1 0.646471 30.436101 2 True
2 0.259600 28.567183 2 True
3 0.050901 49.870039 2 True
4 4.025149 61.983860 2 True
5 0.104428 0.037621 1 True
6 0.000996 0.676288 2 True
7 0.117123 0.041065 1 True
8 0.665931 12.510792 1 True
9 0.521157 5.057163 1 True
10 0.141469 199.586388 1 True
11 1.482474 31.920640 1 True
12 9.601838 74.207117 1 True
13 0.509932 69.723033 1 True
fit_order
0 14
1 12
2 11
3 13
4 10
5 2
6 9
7 1
8 5
9 7
10 6
11 4
12 3
13 8 }
predictions = predictor.predict(test)
predictions.head()
0 22.683128 1 41.650959 2 45.937160 3 49.239330 4 51.562477 Name: count, dtype: float32
# Describe the `predictions` series to see if there are any negative values
predictions.describe()
count 6493.000000 mean 100.539040 std 89.739159 min 3.263001 25% 19.608616 50% 63.733551 75% 168.038925 max 365.447327 Name: count, dtype: float64
# How many negative values do we have?
predictions[predictions<0]
Series([], Name: count, dtype: float32)
# Set them to zero
predictions[predictions<0] = 0
submission["count"] = predictions
submission.to_csv("submission.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission.csv -m "first raw submission"
100%|█████████████████████████████████████████| 188k/188k [00:00<00:00, 416kB/s] Successfully submitted to Bike Sharing Demand
My Submissions¶!kaggle competitions submissions -c bike-sharing-demand | tail -n +1 | head -n 6
fileName date description status publicScore privateScore --------------------------- ------------------- --------------------------------- -------- ----------- ------------ submission.csv 2023-07-16 21:32:03 first raw submission complete 1.79875 1.79875 submission.csv 2023-07-16 21:13:57 first raw submission complete 0.64965 0.64965 submission_new_hpo.csv 2023-07-16 20:48:29 new features with hyperparameters complete 0.47569 0.47569 submission_new_hpo.csv 2023-07-15 01:17:00 new features with hyperparameters complete 1.31864 1.31864
1.79¶# Create a histogram of all features to show the distribution of each one relative to the data. This is part of the exploritory data analysis
train.hist(figsize=(20,20))
array([[<AxesSubplot:title={'center':'datetime'}>,
<AxesSubplot:title={'center':'season'}>,
<AxesSubplot:title={'center':'holiday'}>],
[<AxesSubplot:title={'center':'workingday'}>,
<AxesSubplot:title={'center':'weather'}>,
<AxesSubplot:title={'center':'temp'}>],
[<AxesSubplot:title={'center':'atemp'}>,
<AxesSubplot:title={'center':'humidity'}>,
<AxesSubplot:title={'center':'windspeed'}>],
[<AxesSubplot:title={'center':'count'}>, <AxesSubplot:>,
<AxesSubplot:>]], dtype=object)
pd.to_datetime(train.datetime).dt.day
pd.to_datetime(train.datetime).dt.month
pd.to_datetime(train.datetime).dt.year
pd.to_datetime(train.datetime).dt.dayofweek
0 5
1 5
2 5
3 5
4 5
..
10881 2
10882 2
10883 2
10884 2
10885 2
Name: datetime, Length: 10886, dtype: int64
# create a new feature
train['year'] = pd.to_datetime(train.datetime).dt.year
train['month'] = pd.to_datetime(train.datetime).dt.month
train['day'] = pd.to_datetime(train.datetime).dt.day
# train['dow'] = pd.to_datetime(train.datetime).dt.dayofweek
# train['hour'] = pd.to_datetime(train.datetime).dt.hour
test['year'] = pd.to_datetime(test.datetime).dt.year
test['month'] = pd.to_datetime(test.datetime).dt.month
test['day'] = pd.to_datetime(test.datetime).dt.day
# test['dow'] = pd.to_datetime(test.datetime).dt.dayofweek
# test['hour'] = pd.to_datetime(test.datetime).dt.hour
train["season"] = train["season"].astype('category')
train["weather"] = train["weather"].astype('category')
test["season"] = test["season"].astype('category')
test["weather"] = test["weather"].astype('category')
train["holiday"] = train["holiday"].astype("category")
train["workingday"] = train["workingday"].astype("category")
test["holiday"] = test["holiday"].astype("category")
test["workingday"] = test["workingday"].astype("category")
# View are new feature
train.head()
| datetime | season | holiday | workingday | weather | temp | atemp | humidity | windspeed | count | year | month | day | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2011-01-01 00:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 81 | 0.0 | 16 | 2011 | 1 | 1 |
| 1 | 2011-01-01 01:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 40 | 2011 | 1 | 1 |
| 2 | 2011-01-01 02:00:00 | 1 | 0 | 0 | 1 | 9.02 | 13.635 | 80 | 0.0 | 32 | 2011 | 1 | 1 |
| 3 | 2011-01-01 03:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 13 | 2011 | 1 | 1 |
| 4 | 2011-01-01 04:00:00 | 1 | 0 | 0 | 1 | 9.84 | 14.395 | 75 | 0.0 | 1 | 2011 | 1 | 1 |
# View histogram of all features again now with the hour feature
train.hist(figsize = (20,10))
array([[<AxesSubplot:title={'center':'datetime'}>,
<AxesSubplot:title={'center':'temp'}>,
<AxesSubplot:title={'center':'atemp'}>],
[<AxesSubplot:title={'center':'humidity'}>,
<AxesSubplot:title={'center':'windspeed'}>,
<AxesSubplot:title={'center':'count'}>],
[<AxesSubplot:title={'center':'year'}>,
<AxesSubplot:title={'center':'month'}>,
<AxesSubplot:title={'center':'day'}>]], dtype=object)
predictor_new_features = TabularPredictor(label = 'count', eval_metric = 'rmse').fit(train, time_limit = 600, presets = 'best_quality')
No path specified. Models will be saved in: "AutogluonModels/ag-20230716_220137/"
Presets specified: ['best_quality']
Stack configuration (auto_stack=True): num_stack_levels=1, num_bag_folds=8, num_bag_sets=20
Beginning AutoGluon training ... Time limit = 600s
AutoGluon will save models to "AutogluonModels/ag-20230716_220137/"
AutoGluon Version: 0.6.2
Python Version: 3.7.10
Operating System: Linux
Platform Machine: x86_64
Platform Version: #1 SMP Tue May 23 16:44:05 UTC 2023
Train Data Rows: 10886
Train Data Columns: 12
Label Column: count
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type parameter during predictor init (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 1828.65 MB
Train Data (Original) Memory Usage: 0.74 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 3 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
/usr/local/lib/python3.7/site-packages/autogluon/features/generators/datetime.py:59: FutureWarning: casting datetime64[ns, UTC] values to int64 with .astype(...) is deprecated and will raise in a future version. Use .view(...) instead.
good_rows = series[~series.isin(bad_rows)].astype(np.int64)
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 4 | ['season', 'holiday', 'workingday', 'weather']
('datetime', []) : 1 | ['datetime']
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 4 | ['humidity', 'year', 'month', 'day']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 2 | ['season', 'weather']
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 3 | ['humidity', 'month', 'day']
('int', ['bool']) : 3 | ['holiday', 'workingday', 'year']
('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
0.2s = Fit runtime
12 features in original data used to generate 16 features in processed data.
Train Data (Processed) Memory Usage: 1.01 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.27s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
This metric's sign has been flipped to adhere to being higher_is_better. The metric score can be multiplied by -1 to get the metric value.
To change this, specify the eval_metric parameter of Predictor()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 399.72s of the 599.72s of remaining time.
-101.5462 = Validation score (-root_mean_squared_error)
0.03s = Training runtime
0.11s = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 399.27s of the 599.28s of remaining time.
-84.1251 = Validation score (-root_mean_squared_error)
0.06s = Training runtime
0.1s = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 398.83s of the 598.84s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-130.7732 = Validation score (-root_mean_squared_error)
68.88s = Training runtime
7.54s = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 322.89s of the 522.9s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-130.6721 = Validation score (-root_mean_squared_error)
36.62s = Training runtime
1.91s = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 281.18s of the 481.19s of remaining time.
-116.5757 = Validation score (-root_mean_squared_error)
12.58s = Training runtime
0.54s = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 265.42s of the 465.43s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-131.7145 = Validation score (-root_mean_squared_error)
226.45s = Training runtime
0.24s = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 34.92s of the 234.92s of remaining time.
-123.9947 = Validation score (-root_mean_squared_error)
6.62s = Training runtime
0.63s = Validation runtime
Fitting model: NeuralNetFastAI_BAG_L1 ... Training model for up to 25.14s of the 225.14s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-141.034 = Validation score (-root_mean_squared_error)
47.82s = Training runtime
0.54s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 172.95s of remaining time.
-84.1251 = Validation score (-root_mean_squared_error)
0.68s = Training runtime
0.0s = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 172.19s of the 172.16s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-60.7588 = Validation score (-root_mean_squared_error)
57.99s = Training runtime
3.44s = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 108.69s of the 108.66s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-54.7821 = Validation score (-root_mean_squared_error)
29.55s = Training runtime
0.36s = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 74.42s of the 74.39s of remaining time.
-53.0263 = Validation score (-root_mean_squared_error)
31.81s = Training runtime
0.74s = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 39.42s of the 39.4s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
-57.507 = Validation score (-root_mean_squared_error)
45.78s = Training runtime
0.11s = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the -10.43s of remaining time.
-52.7382 = Validation score (-root_mean_squared_error)
0.38s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 611.04s ... Best model: "WeightedEnsemble_L3"
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20230716_220137/")
# predictor_new_features = TabularPredictor.load("AutogluonModels/ag-20230709_185304/")
predictor_new_features.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
model score_val pred_time_val fit_time pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 WeightedEnsemble_L3 -52.738155 16.136004 518.793613 0.001005 0.384651 3 True 14
1 RandomForestMSE_BAG_L2 -53.026317 12.342463 430.865201 0.743380 31.809759 2 True 12
2 LightGBM_BAG_L2 -54.782052 11.954232 428.605428 0.355148 29.549986 2 True 11
3 CatBoost_BAG_L2 -57.506986 11.707151 444.839218 0.108068 45.783776 2 True 13
4 LightGBMXT_BAG_L2 -60.758828 15.036472 457.049217 3.437388 57.993775 2 True 10
5 KNeighborsDist_BAG_L1 -84.125061 0.104027 0.057752 0.104027 0.057752 1 True 2
6 WeightedEnsemble_L2 -84.125061 0.105006 0.735968 0.000978 0.678216 2 True 9
7 KNeighborsUnif_BAG_L1 -101.546199 0.109205 0.034693 0.109205 0.034693 1 True 1
8 RandomForestMSE_BAG_L1 -116.575654 0.536217 12.581962 0.536217 12.581962 1 True 5
9 ExtraTreesMSE_BAG_L1 -123.994671 0.625814 6.615918 0.625814 6.615918 1 True 7
10 LightGBM_BAG_L1 -130.672051 1.909253 36.622938 1.909253 36.622938 1 True 4
11 LightGBMXT_BAG_L1 -130.773236 7.535413 68.876055 7.535413 68.876055 1 True 3
12 CatBoost_BAG_L1 -131.714517 0.240817 226.450577 0.240817 226.450577 1 True 6
13 NeuralNetFastAI_BAG_L1 -141.033959 0.538336 47.815546 0.538336 47.815546 1 True 8
Number of models trained: 14
Types of models trained:
{'StackerEnsembleModel_CatBoost', 'StackerEnsembleModel_RF', 'WeightedEnsembleModel', 'StackerEnsembleModel_LGB', 'StackerEnsembleModel_KNN', 'StackerEnsembleModel_NNFastAiTabular', 'StackerEnsembleModel_XT'}
Bagging used: True (with 8 folds)
Multi-layer stack-ensembling used: True (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', []) : 2 | ['season', 'weather']
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 3 | ['humidity', 'month', 'day']
('int', ['bool']) : 3 | ['holiday', 'workingday', 'year']
('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
Plot summary of models saved to file: AutogluonModels/ag-20230716_220137/SummaryOfModels.html
*** End of fit() summary ***
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L1': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
'CatBoost_BAG_L1': 'StackerEnsembleModel_CatBoost',
'ExtraTreesMSE_BAG_L1': 'StackerEnsembleModel_XT',
'NeuralNetFastAI_BAG_L1': 'StackerEnsembleModel_NNFastAiTabular',
'WeightedEnsemble_L2': 'WeightedEnsembleModel',
'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
'CatBoost_BAG_L2': 'StackerEnsembleModel_CatBoost',
'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
'model_performance': {'KNeighborsUnif_BAG_L1': -101.54619908446061,
'KNeighborsDist_BAG_L1': -84.12506123181602,
'LightGBMXT_BAG_L1': -130.77323648150337,
'LightGBM_BAG_L1': -130.6720510216722,
'RandomForestMSE_BAG_L1': -116.57565404821065,
'CatBoost_BAG_L1': -131.71451691236425,
'ExtraTreesMSE_BAG_L1': -123.99467061779796,
'NeuralNetFastAI_BAG_L1': -141.0339589820966,
'WeightedEnsemble_L2': -84.12506123181602,
'LightGBMXT_BAG_L2': -60.75882778710331,
'LightGBM_BAG_L2': -54.78205193683017,
'RandomForestMSE_BAG_L2': -53.02631651668507,
'CatBoost_BAG_L2': -57.506986459878625,
'WeightedEnsemble_L3': -52.73815501839845},
'model_best': 'WeightedEnsemble_L3',
'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/KNeighborsUnif_BAG_L1/',
'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/KNeighborsDist_BAG_L1/',
'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/LightGBMXT_BAG_L1/',
'LightGBM_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/LightGBM_BAG_L1/',
'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/RandomForestMSE_BAG_L1/',
'CatBoost_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/CatBoost_BAG_L1/',
'ExtraTreesMSE_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/ExtraTreesMSE_BAG_L1/',
'NeuralNetFastAI_BAG_L1': 'AutogluonModels/ag-20230716_220137/models/NeuralNetFastAI_BAG_L1/',
'WeightedEnsemble_L2': 'AutogluonModels/ag-20230716_220137/models/WeightedEnsemble_L2/',
'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20230716_220137/models/LightGBMXT_BAG_L2/',
'LightGBM_BAG_L2': 'AutogluonModels/ag-20230716_220137/models/LightGBM_BAG_L2/',
'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20230716_220137/models/RandomForestMSE_BAG_L2/',
'CatBoost_BAG_L2': 'AutogluonModels/ag-20230716_220137/models/CatBoost_BAG_L2/',
'WeightedEnsemble_L3': 'AutogluonModels/ag-20230716_220137/models/WeightedEnsemble_L3/'},
'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.034693002700805664,
'KNeighborsDist_BAG_L1': 0.05775189399719238,
'LightGBMXT_BAG_L1': 68.87605547904968,
'LightGBM_BAG_L1': 36.62293767929077,
'RandomForestMSE_BAG_L1': 12.58196234703064,
'CatBoost_BAG_L1': 226.45057725906372,
'ExtraTreesMSE_BAG_L1': 6.615917921066284,
'NeuralNetFastAI_BAG_L1': 47.81554627418518,
'WeightedEnsemble_L2': 0.6782164573669434,
'LightGBMXT_BAG_L2': 57.99377512931824,
'LightGBM_BAG_L2': 29.549985647201538,
'RandomForestMSE_BAG_L2': 31.809759378433228,
'CatBoost_BAG_L2': 45.783775806427,
'WeightedEnsemble_L3': 0.38465070724487305},
'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.10920548439025879,
'KNeighborsDist_BAG_L1': 0.10402727127075195,
'LightGBMXT_BAG_L1': 7.535413026809692,
'LightGBM_BAG_L1': 1.909252643585205,
'RandomForestMSE_BAG_L1': 0.536217451095581,
'CatBoost_BAG_L1': 0.24081683158874512,
'ExtraTreesMSE_BAG_L1': 0.6258144378662109,
'NeuralNetFastAI_BAG_L1': 0.5383362770080566,
'WeightedEnsemble_L2': 0.0009784698486328125,
'LightGBMXT_BAG_L2': 3.4373881816864014,
'LightGBM_BAG_L2': 0.3551480770111084,
'RandomForestMSE_BAG_L2': 0.7433798313140869,
'CatBoost_BAG_L2': 0.10806798934936523,
'WeightedEnsemble_L3': 0.001004934310913086},
'num_bag_folds': 8,
'max_stack_level': 3,
'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'KNeighborsDist_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'LightGBMXT_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'CatBoost_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'ExtraTreesMSE_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'NeuralNetFastAI_BAG_L1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'WeightedEnsemble_L2': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBMXT_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'RandomForestMSE_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True,
'use_child_oof': True},
'CatBoost_BAG_L2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'WeightedEnsemble_L3': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True}},
'leaderboard': model score_val pred_time_val fit_time \
0 WeightedEnsemble_L3 -52.738155 16.136004 518.793613
1 RandomForestMSE_BAG_L2 -53.026317 12.342463 430.865201
2 LightGBM_BAG_L2 -54.782052 11.954232 428.605428
3 CatBoost_BAG_L2 -57.506986 11.707151 444.839218
4 LightGBMXT_BAG_L2 -60.758828 15.036472 457.049217
5 KNeighborsDist_BAG_L1 -84.125061 0.104027 0.057752
6 WeightedEnsemble_L2 -84.125061 0.105006 0.735968
7 KNeighborsUnif_BAG_L1 -101.546199 0.109205 0.034693
8 RandomForestMSE_BAG_L1 -116.575654 0.536217 12.581962
9 ExtraTreesMSE_BAG_L1 -123.994671 0.625814 6.615918
10 LightGBM_BAG_L1 -130.672051 1.909253 36.622938
11 LightGBMXT_BAG_L1 -130.773236 7.535413 68.876055
12 CatBoost_BAG_L1 -131.714517 0.240817 226.450577
13 NeuralNetFastAI_BAG_L1 -141.033959 0.538336 47.815546
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 0.001005 0.384651 3 True
1 0.743380 31.809759 2 True
2 0.355148 29.549986 2 True
3 0.108068 45.783776 2 True
4 3.437388 57.993775 2 True
5 0.104027 0.057752 1 True
6 0.000978 0.678216 2 True
7 0.109205 0.034693 1 True
8 0.536217 12.581962 1 True
9 0.625814 6.615918 1 True
10 1.909253 36.622938 1 True
11 7.535413 68.876055 1 True
12 0.240817 226.450577 1 True
13 0.538336 47.815546 1 True
fit_order
0 14
1 12
2 11
3 13
4 10
5 2
6 9
7 1
8 5
9 7
10 4
11 3
12 6
13 8 }
# Remember to set all negative values to zero
predictor_new_features = predictor_new_features.predict(test)
predictor_new_features.describe()
count 6493.000000 mean 100.434273 std 89.675568 min 3.341929 25% 20.147358 50% 63.433987 75% 166.067200 max 366.801514 Name: count, dtype: float64
predictor_new_features[predictor_new_features<0]
Series([], Name: count, dtype: float32)
predictor_new_features[predictor_new_features<0] = 0
submission_new_features = pd.read_csv('sampleSubmission.csv')
# Same submitting predictions
submission_new_features["count"] = predictor_new_features
submission_new_features.to_csv("submission_new_features.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_new_features.csv -m "new features"
100%|█████████████████████████████████████████| 188k/188k [00:00<00:00, 362kB/s] 400 - Bad Request - Invalid token
!kaggle competitions submissions -c bike-sharing-demand | tail -n +1 | head -n 6
fileName date description status publicScore privateScore --------------------------- ------------------- --------------------------------- -------- ----------- ------------ submission_new_hpo.csv 2023-07-16 22:22:07 new features with hyperparameters complete 1.31864 1.31864 submission_new_features.csv 2023-07-16 21:57:45 new features complete 0.64822 0.64822 submission_new_features.csv 2023-07-16 21:45:48 new features complete 0.64780 0.64780 submission.csv 2023-07-16 21:32:03 first raw submission complete 1.79875 1.79875
0.64¶hyperparameter and hyperparameter_tune_kwargs arguments.nn_options = {
'num_epochs': 10,
'learning_rate': ag.space.Real(1e-4, 1e-2, default=5e-4, log=True),
'activation': ag.space.Categorical('relu', 'softrelu', 'tanh'),
'layers': ag.space.Categorical([100], [1000], [200, 100], [300, 200, 100]),
'dropout_prob': ag.space.Real(0.0, 0.5, default=0.1),
}
gbm_options = {
'num_boost_round': 150,
'num_leaves': ag.space.Int(lower=26, upper=66, default=36)
}
rf_options = {
'max_depth': ag.space.Int(lower=1, upper=20, default=0),
'n_estimators': ag.space.Int(70, 500, default=150),
'criterion': ag.space.Categorical('gini', 'entropy'),
'min_samples_split': ag.space.Int(1, 15, default=5)
}
hyperparameters = { # hyperparameters of each model type
'GBM': gbm_options,
'NN': nn_options
,'RF': rf_options
}
hyperparameter_tune_kwargs = {
'num_folds': 10,
'num_bagging_folds': 3,
'ag_args_fit': {'early_stopping_rounds': 20},
'num_trails' : 20,
'scheduler' : 'local',
'searcher' : 'auto'}
predictor_new_hpo = TabularPredictor(label = 'count',
eval_metric = 'rmse').fit(train,
hyperparameters= hyperparameters,
hyperparameter_tune_kwargs=hyperparameter_tune_kwargs,
time_limit = 600,
presets = 'best_quality'
)
No path specified. Models will be saved in: "AutogluonModels/ag-20230716_221231/"
Presets specified: ['best_quality']
Warning: hyperparameter tuning is currently experimental and may cause the process to hang.
Stack configuration (auto_stack=True): num_stack_levels=1, num_bag_folds=8, num_bag_sets=20
Beginning AutoGluon training ... Time limit = 600s
AutoGluon will save models to "AutogluonModels/ag-20230716_221231/"
AutoGluon Version: 0.6.2
Python Version: 3.7.10
Operating System: Linux
Platform Machine: x86_64
Platform Version: #1 SMP Tue May 23 16:44:05 UTC 2023
Train Data Rows: 10886
Train Data Columns: 12
Label Column: count
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
If 'regression' is not the correct problem_type, please manually specify the problem_type parameter during predictor init (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
Available Memory: 1833.52 MB
Train Data (Original) Memory Usage: 0.74 MB (0.0% of available memory)
Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
Stage 1 Generators:
Fitting AsTypeFeatureGenerator...
Note: Converting 3 features to boolean dtype as they only contain 2 unique values.
Stage 2 Generators:
Fitting FillNaFeatureGenerator...
Stage 3 Generators:
Fitting IdentityFeatureGenerator...
Fitting CategoryFeatureGenerator...
Fitting CategoryMemoryMinimizeFeatureGenerator...
Fitting DatetimeFeatureGenerator...
/usr/local/lib/python3.7/site-packages/autogluon/features/generators/datetime.py:59: FutureWarning: casting datetime64[ns, UTC] values to int64 with .astype(...) is deprecated and will raise in a future version. Use .view(...) instead.
good_rows = series[~series.isin(bad_rows)].astype(np.int64)
Stage 4 Generators:
Fitting DropUniqueFeatureGenerator...
Types of features in original data (raw dtype, special dtypes):
('category', []) : 4 | ['season', 'holiday', 'workingday', 'weather']
('datetime', []) : 1 | ['datetime']
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 4 | ['humidity', 'year', 'month', 'day']
Types of features in processed data (raw dtype, special dtypes):
('category', []) : 2 | ['season', 'weather']
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 3 | ['humidity', 'month', 'day']
('int', ['bool']) : 3 | ['holiday', 'workingday', 'year']
('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
0.2s = Fit runtime
12 features in original data used to generate 16 features in processed data.
Train Data (Processed) Memory Usage: 1.01 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.27s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
This metric's sign has been flipped to adhere to being higher_is_better. The metric score can be multiplied by -1 to get the metric value.
To change this, specify the eval_metric parameter of Predictor()
AutoGluon will fit 2 stack levels (L1 to L2) ...
WARNING: "NN" model has been deprecated in v0.4.0 and renamed to "NN_MXNET". Starting in v0.6.0, specifying "NN" or "NN_MXNET" will raise an exception. Consider instead specifying "NN_TORCH".
Fitting 3 L1 models ...
Hyperparameter tuning model: LightGBM_BAG_L1 ... Tuning model for up to 119.92s of the 599.72s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
Stopping HPO to satisfy time limit...
Fitted model: LightGBM_BAG_L1/T1 ...
-134.125 = Validation score (-root_mean_squared_error)
26.11s = Training runtime
0.0s = Validation runtime
Fitted model: LightGBM_BAG_L1/T2 ...
-133.7586 = Validation score (-root_mean_squared_error)
27.43s = Training runtime
0.0s = Validation runtime
Fitted model: LightGBM_BAG_L1/T3 ...
-133.0398 = Validation score (-root_mean_squared_error)
28.15s = Training runtime
0.0s = Validation runtime
Fitted model: LightGBM_BAG_L1/T4 ...
-149.8407 = Validation score (-root_mean_squared_error)
24.13s = Training runtime
0.0s = Validation runtime
Hyperparameter tuning model: RandomForest_BAG_L1 ... Tuning model for up to 119.92s of the 493.57s of remaining time.
max_depth must be greater than zero.
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 306, in fit
raise ValueError("max_depth must be greater than zero. ")
ValueError: max_depth must be greater than zero.
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
Stopping HPO to satisfy time limit...
No model was trained during hyperparameter tuning RandomForest_BAG_L1... Skipping this model.
Hyperparameter tuning model: NeuralNetMXNet_BAG_L1 ... Tuning model for up to 119.92s of the 373.71s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21388, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21388, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:25,377 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): ray::_ray_fit() (pid=21387, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21449, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21449, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:32,321 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21515, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21515, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:38,523 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21577, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21577, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:44,346 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21643, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21643, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:16:50,325 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21711, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21711, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:16:56,607 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=21773, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21773, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:03,699 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=21868, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21868, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:17:09,909 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=21934, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=21934, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:15,552 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22028, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22028, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:20,855 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22093, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22093, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:26,141 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22161, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22161, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:31,565 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22224, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22224, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:36,867 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22286, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22286, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:42,122 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22346, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22346, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:47,447 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22415, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22415, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:17:53,950 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=22507, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22507, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:18:00,978 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=22572, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22572, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:18:08,004 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=22667, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=22667, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Stopping HPO to satisfy time limit...
No model was trained during hyperparameter tuning NeuralNetMXNet_BAG_L1... Skipping this model.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 258.01s of remaining time.
2023-07-16 22:18:13,851 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
-132.7989 = Validation score (-root_mean_squared_error)
0.94s = Training runtime
0.0s = Validation runtime
WARNING: "NN" model has been deprecated in v0.4.0 and renamed to "NN_MXNET". Starting in v0.6.0, specifying "NN" or "NN_MXNET" will raise an exception. Consider instead specifying "NN_TORCH".
Fitting 3 L2 models ...
Hyperparameter tuning model: LightGBM_BAG_L2 ... Tuning model for up to 77.08s of the 256.91s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
Stopping HPO to satisfy time limit...
Fitted model: LightGBM_BAG_L2/T1 ...
-132.2595 = Validation score (-root_mean_squared_error)
25.2s = Training runtime
0.0s = Validation runtime
Fitted model: LightGBM_BAG_L2/T2 ...
-132.2635 = Validation score (-root_mean_squared_error)
23.45s = Training runtime
0.0s = Validation runtime
Fitted model: LightGBM_BAG_L2/T3 ...
-132.9368 = Validation score (-root_mean_squared_error)
25.62s = Training runtime
0.0s = Validation runtime
Hyperparameter tuning model: RandomForest_BAG_L2 ... Tuning model for up to 77.08s of the 182.31s of remaining time.
max_depth must be greater than zero.
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 306, in fit
raise ValueError("max_depth must be greater than zero. ")
ValueError: max_depth must be greater than zero.
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 254, in fit
% self.min_samples_split
ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 1
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'entropy'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'entropy'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
'gini'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 237, in _fit
self._fit_single(X=X, y=y, model_base=model_base, use_child_oof=use_child_oof, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 356, in _fit_single
model_base.fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/rf/rf_model.py", line 194, in _fit
model = model.fit(X, y, sample_weight=sample_weight)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 459, in fit
for i, t in enumerate(trees)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 1056, in __call__
self.retrieve()
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 935, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 657, in get
raise self._value
File "/usr/local/lib/python3.7/multiprocessing/pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.7/site-packages/joblib/_parallel_backends.py", line 595, in __call__
return self.func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in __call__
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/joblib/parallel.py", line 263, in <listcomp>
for func, args, kwargs in self.items]
File "/usr/local/lib/python3.7/site-packages/sklearn/utils/fixes.py", line 211, in __call__
return self.function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/sklearn/ensemble/_forest.py", line 185, in _parallel_build_trees
tree.fit(X, y, sample_weight=curr_sample_weight, check_input=False)
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 1320, in fit
X_idx_sorted=X_idx_sorted,
File "/usr/local/lib/python3.7/site-packages/sklearn/tree/_classes.py", line 356, in fit
criterion = CRITERIA_REG[self.criterion](self.n_outputs_, n_samples)
KeyError: 'gini'
Stopping HPO to satisfy time limit...
No model was trained during hyperparameter tuning RandomForest_BAG_L2... Skipping this model.
Hyperparameter tuning model: NeuralNetMXNet_BAG_L2 ... Tuning model for up to 77.08s of the 105.29s of remaining time.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=24636, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24636, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:20:52,526 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=24693, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24693, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:20:59,213 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=24785, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24785, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:05,610 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=24851, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24851, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:11,982 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=24919, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=24919, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:18,821 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25014, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25014, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:24,828 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25074, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25074, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:31,458 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25169, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25169, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:37,558 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25234, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25234, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
2023-07-16 22:21:43,510 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
ray::_ray_fit() (pid=25300, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25300, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:49,330 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25389, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25389, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
2023-07-16 22:21:54,794 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
Fitting 8 child models (S1F1 - S1F8) | Fitting with ParallelLocalFoldFittingStrategy
ray::_ray_fit() (pid=25452, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 49, in model_trial
time_limit=time_limit,
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/model_trial.py", line 101, in fit_and_save_model
model.fit(**fit_args, time_limit=time_left)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/stacker_ensemble_model.py", line 154, in _fit
return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 251, in _fit
n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/bagged_ensemble_model.py", line 541, in _fit_folds
fold_fitting_strategy.after_all_folds_scheduled()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 536, in after_all_folds_scheduled
raise processed_exception
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 504, in after_all_folds_scheduled
time_end_fit, predict_time, predict_1_time = self.ray.get(finished)
File "/usr/local/lib/python3.7/site-packages/ray/_private/client_mode_hook.py", line 105, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/ray/_private/worker.py", line 2280, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AttributeError): ray::_ray_fit() (pid=25452, ip=169.255.255.2)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/ensemble/fold_fitting_strategy.py", line 375, in _ray_fit
time_limit=time_limit_fold, **resources, **kwargs_fold)
File "/usr/local/lib/python3.7/site-packages/autogluon/core/models/abstract/abstract_model.py", line 703, in fit
out = self._fit(**kwargs)
File "/usr/local/lib/python3.7/site-packages/autogluon/tabular/models/tabular_nn/mxnet/tabular_nn_mxnet.py", line 135, in _fit
try_import_mxnet()
File "/usr/local/lib/python3.7/site-packages/autogluon/core/utils/try_import.py", line 40, in try_import_mxnet
import mxnet as mx
File "/usr/local/lib/python3.7/site-packages/mxnet/__init__.py", line 33, in <module>
from . import contrib
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/__init__.py", line 30, in <module>
from . import text
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/__init__.py", line 23, in <module>
from . import embedding
File "/usr/local/lib/python3.7/site-packages/mxnet/contrib/text/embedding.py", line 37, in <module>
from ... import numpy_extension as _mx_npx
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/__init__.py", line 23, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/numpy_extension/image.py", line 20, in <module>
from ..image import * # pylint: disable=wildcard-import, unused-wildcard-import
File "/usr/local/lib/python3.7/site-packages/mxnet/image/__init__.py", line 22, in <module>
from . import image
File "/usr/local/lib/python3.7/site-packages/mxnet/image/image.py", line 38, in <module>
import cv2
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 181, in <module>
bootstrap()
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.7/site-packages/cv2/__init__.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/local/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.7/site-packages/cv2/gapi/__init__.py", line 301, in <module>
cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline
AttributeError: module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline'
Stopping HPO to satisfy time limit...
No model was trained during hyperparameter tuning NeuralNetMXNet_BAG_L2... Skipping this model.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the 31.46s of remaining time.
2023-07-16 22:22:00,317 ERROR worker.py:400 -- Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): The worker died unexpectedly while executing this task. Check python-core-worker-*.log files for more information.
-132.0344 = Validation score (-root_mean_squared_error)
0.49s = Training runtime
0.0s = Validation runtime
AutoGluon training complete, total runtime = 569.33s ... Best model: "WeightedEnsemble_L3"
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20230716_221231/")
predictor_new_hpo.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
model score_val pred_time_val fit_time pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 WeightedEnsemble_L3 -132.034394 0.001862 180.584721 0.001131 0.489920 3 True 9
1 LightGBM_BAG_L2/T1 -132.259522 0.000556 131.024630 0.000079 25.196681 2 True 6
2 LightGBM_BAG_L2/T2 -132.263461 0.000559 129.280446 0.000082 23.452497 2 True 7
3 WeightedEnsemble_L2 -132.798886 0.001544 56.521158 0.001290 0.942062 2 True 5
4 LightGBM_BAG_L2/T3 -132.936823 0.000570 131.445622 0.000093 25.617674 2 True 8
5 LightGBM_BAG_L1/T3 -133.039832 0.000120 28.150748 0.000120 28.150748 1 True 3
6 LightGBM_BAG_L1/T2 -133.758554 0.000134 27.428348 0.000134 27.428348 1 True 2
7 LightGBM_BAG_L1/T1 -134.125048 0.000101 26.114660 0.000101 26.114660 1 True 1
8 LightGBM_BAG_L1/T4 -149.840675 0.000122 24.134192 0.000122 24.134192 1 True 4
Number of models trained: 9
Types of models trained:
{'StackerEnsembleModel_LGB', 'WeightedEnsembleModel'}
Bagging used: True (with 8 folds)
Multi-layer stack-ensembling used: True (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', []) : 2 | ['season', 'weather']
('float', []) : 3 | ['temp', 'atemp', 'windspeed']
('int', []) : 3 | ['humidity', 'month', 'day']
('int', ['bool']) : 3 | ['holiday', 'workingday', 'year']
('int', ['datetime_as_int']) : 5 | ['datetime', 'datetime.year', 'datetime.month', 'datetime.day', 'datetime.dayofweek']
Plot summary of models saved to file: AutogluonModels/ag-20230716_221231/SummaryOfModels.html
*** End of fit() summary ***
{'model_types': {'LightGBM_BAG_L1/T1': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L1/T2': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L1/T3': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L1/T4': 'StackerEnsembleModel_LGB',
'WeightedEnsemble_L2': 'WeightedEnsembleModel',
'LightGBM_BAG_L2/T1': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L2/T2': 'StackerEnsembleModel_LGB',
'LightGBM_BAG_L2/T3': 'StackerEnsembleModel_LGB',
'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
'model_performance': {'LightGBM_BAG_L1/T1': -134.1250480889158,
'LightGBM_BAG_L1/T2': -133.7585544282497,
'LightGBM_BAG_L1/T3': -133.03983204086617,
'LightGBM_BAG_L1/T4': -149.84067525384376,
'WeightedEnsemble_L2': -132.79888556957542,
'LightGBM_BAG_L2/T1': -132.25952161897303,
'LightGBM_BAG_L2/T2': -132.2634614506834,
'LightGBM_BAG_L2/T3': -132.93682282473787,
'WeightedEnsemble_L3': -132.03439356613123},
'model_best': 'WeightedEnsemble_L3',
'model_paths': {'LightGBM_BAG_L1/T1': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L1/T1/',
'LightGBM_BAG_L1/T2': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L1/T2/',
'LightGBM_BAG_L1/T3': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L1/T3/',
'LightGBM_BAG_L1/T4': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L1/T4/',
'WeightedEnsemble_L2': 'AutogluonModels/ag-20230716_221231/models/WeightedEnsemble_L2/',
'LightGBM_BAG_L2/T1': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L2/T1/',
'LightGBM_BAG_L2/T2': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L2/T2/',
'LightGBM_BAG_L2/T3': '/root/cd0385-project-starter/project/AutogluonModels/ag-20230716_221231/models/LightGBM_BAG_L2/T3/',
'WeightedEnsemble_L3': 'AutogluonModels/ag-20230716_221231/models/WeightedEnsemble_L3/'},
'model_fit_times': {'LightGBM_BAG_L1/T1': 26.114660024642944,
'LightGBM_BAG_L1/T2': 27.42834758758545,
'LightGBM_BAG_L1/T3': 28.150748252868652,
'LightGBM_BAG_L1/T4': 24.13419222831726,
'WeightedEnsemble_L2': 0.9420616626739502,
'LightGBM_BAG_L2/T1': 25.1966814994812,
'LightGBM_BAG_L2/T2': 23.452497482299805,
'LightGBM_BAG_L2/T3': 25.617673873901367,
'WeightedEnsemble_L3': 0.48991990089416504},
'model_pred_times': {'LightGBM_BAG_L1/T1': 0.00010132789611816406,
'LightGBM_BAG_L1/T2': 0.00013375282287597656,
'LightGBM_BAG_L1/T3': 0.00012040138244628906,
'LightGBM_BAG_L1/T4': 0.00012159347534179688,
'WeightedEnsemble_L2': 0.0012903213500976562,
'LightGBM_BAG_L2/T1': 7.891654968261719e-05,
'LightGBM_BAG_L2/T2': 8.20159912109375e-05,
'LightGBM_BAG_L2/T3': 9.274482727050781e-05,
'WeightedEnsemble_L3': 0.001131296157836914},
'num_bag_folds': 8,
'max_stack_level': 3,
'model_hyperparams': {'LightGBM_BAG_L1/T1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L1/T2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L1/T3': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L1/T4': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'WeightedEnsemble_L2': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L2/T1': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L2/T2': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'LightGBM_BAG_L2/T3': {'use_orig_features': True,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True},
'WeightedEnsemble_L3': {'use_orig_features': False,
'max_base_models': 25,
'max_base_models_per_type': 5,
'save_bag_folds': True}},
'leaderboard': model score_val pred_time_val fit_time \
0 WeightedEnsemble_L3 -132.034394 0.001862 180.584721
1 LightGBM_BAG_L2/T1 -132.259522 0.000556 131.024630
2 LightGBM_BAG_L2/T2 -132.263461 0.000559 129.280446
3 WeightedEnsemble_L2 -132.798886 0.001544 56.521158
4 LightGBM_BAG_L2/T3 -132.936823 0.000570 131.445622
5 LightGBM_BAG_L1/T3 -133.039832 0.000120 28.150748
6 LightGBM_BAG_L1/T2 -133.758554 0.000134 27.428348
7 LightGBM_BAG_L1/T1 -134.125048 0.000101 26.114660
8 LightGBM_BAG_L1/T4 -149.840675 0.000122 24.134192
pred_time_val_marginal fit_time_marginal stack_level can_infer \
0 0.001131 0.489920 3 True
1 0.000079 25.196681 2 True
2 0.000082 23.452497 2 True
3 0.001290 0.942062 2 True
4 0.000093 25.617674 2 True
5 0.000120 28.150748 1 True
6 0.000134 27.428348 1 True
7 0.000101 26.114660 1 True
8 0.000122 24.134192 1 True
fit_order
0 9
1 6
2 7
3 5
4 8
5 3
6 2
7 1
8 4 }
# Remember to set all negative values to zero
predictions_new_hpo = predictor_new_hpo.predict(test)
sum(predictions_new_hpo<0)
0
predictions_new_hpo.describe()
count 6493.000000 mean 198.266785 std 122.174301 min 37.274780 25% 107.854836 50% 163.917770 75% 274.925110 max 607.327148 Name: count, dtype: float64
predictions_new_hpo[predictions_new_hpo<0] = 0
submission_new_hpo = pd.read_csv('sampleSubmission.csv')
# Same submitting predictions
submission_new_hpo["count"] = predictions_new_hpo
submission_new_hpo.to_csv("submission_new_hpo.csv", index=False)
!kaggle competitions submit -c bike-sharing-demand -f submission_new_hpo.csv -m "new features with hyperparameters"
100%|█████████████████████████████████████████| 188k/188k [00:00<00:00, 312kB/s] Successfully submitted to Bike Sharing Demand
!kaggle competitions submissions -c bike-sharing-demand | tail -n +1 | head -n 6
fileName date description status publicScore privateScore --------------------------- ------------------- --------------------------------- -------- ----------- ------------ submission_new_hpo.csv 2023-07-16 22:22:07 new features with hyperparameters complete 1.31864 1.31864 submission_new_features.csv 2023-07-16 21:57:45 new features complete 0.64822 0.64822 submission_new_features.csv 2023-07-16 21:45:48 new features complete 0.64780 0.64780 submission.csv 2023-07-16 21:32:03 first raw submission complete 1.79875 1.79875
1.31¶
# Taking the top model score from each training run and creating a line plot to show improvement
# You can create these in the notebook and save them to PNG or use some other tool (e.g. google sheets, excel)
fig = pd.DataFrame(
{
"model": ["initial", "add_features", "hpo"],
"score": [-53.011781 , -52.738155 , -132.034394]
}
).plot(x="model", y="score", figsize=(8, 6)).get_figure()
fig.savefig('model_train_score.png')
# Take the 3 kaggle scores and creating a line plot to show improvement
fig = pd.DataFrame(
{
"test_eval": ["initial", "add_features", "hpo"],
"score": [1.79, 0.64, 1.31]
}
).plot(x="test_eval", y="score", figsize=(8, 6)).get_figure()
fig.savefig('model_test_score.png')
# The 3 hyperparameters we tuned with the kaggle score as the result
pd.DataFrame({
"model": ["initial", "add_features", "hpo"],
"num_folds": ['default', 'default', 10],
"scheduler": ['default', 'default', 'local'],
"searcher": ['default', 'default', 'auto'],
"num_trials": ['default', 'default', 20],
"score": [1.79, 0.64, 1.31]
})
| model | num_folds | scheduler | searcher | num_trials | score | |
|---|---|---|---|---|---|---|
| 0 | initial | default | default | default | default | 1.79 |
| 1 | add_features | default | default | default | default | 0.64 |
| 2 | hpo | 10 | local | auto | 20 | 1.31 |